Download or read book Predicting Equity Risk Premium Using the Smooth Cross Sectional Tail Risk written by José Afonso Faias and published by . This book was released on 2018 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide a new monthly cross-sectional measure of stock market tail risk, defined as the average of the daily cross-sectional tail risk, rather than the tail risk of the pooled daily returns within a month. The former better captures monthly tail risk rather than merely the tail risk on specific days within a month. Using simulations, we attest that this is due to the low value of daily correlations. We show that this difference is important in generating strong in- and out-of-sample predictability and performs better than the historical risk premium and other commonly used predictors for short- and long-term horizons. This strong predictability improves investor performance in a mean-variance setting.

Download or read book Tail Risk and Asset Prices written by Bryan Kelly and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a new measure of time-varying tail risk that is directly estimable from the cross section of returns. We exploit firm-level price crashes every month to identify common fluctuations in tail risk across stocks. Our tail measure is significantly correlated with tail risk measures extracted from S&P 500 index options, but is available for a longer sample since it is calculated from equity data. We show that tail risk has strong predictive power for aggregate market returns: A one standard deviation increase in tail risk forecasts an increase in excess market returns of 4.5% over the following year. Cross-sectionally, stocks with high loadings on past tail risk earn an annual three-factor alpha 5.4% higher than stocks with low tail risk loadings. These findings are consistent with asset pricing theories that relate equity risk premia to rare disasters or other forms of tail risk.

Download or read book The Equity Risk Premium written by William N. Goetzmann and published by Oxford University Press. This book was released on 2006-11-16 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is the return to investing in the stock market? Can we predict future stock market returns? How have equities performed over the last two centuries? The authors in this volume are among the leading researchers in the study of these questions. This book draws upon their research on the stock market over the past two dozen years. It contains their major research articles on the equity risk premium and new contributions on measuring, forecasting, and timing stock market returns, together with new interpretive essays that explore critical issues and new research on the topic of stock market investing. This book is aimed at all readers interested in understanding the empirical basis for the equity risk premium. Through the analysis and interpretation of two scholars whose research contributions have been key factors in the modern debate over stock market perfomance, this volume engages the reader in many of the key issues of importance to investors. How large is the premium? Is history a reliable guide to predict future equity returns? Does the equity and cash flows of the market? Are global equity markets different from those in the United States? Do emerging markets offer higher or lower equity risk premia? The authors use the historical performance of the world's stock markets to address these issues.

Download or read book The Equity Risk Premium written by Bradford Cornell and published by John Wiley & Sons. This book was released on 1999-05-26 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Das Thema Risikoprämie für Aktien (Equity Risk Premium) wird hier zum ersten Mal verständlich erklärt. Die Risikoprämie für Aktien stellt einen Renditeausgleich dar für das erhöhte Risiko, das ein Anleger bei der Investition in Aktien eingeht, im Vergleich zu einer Investition in risikofreie Staatsanleihen. Die Risikoprämie ist zwar von der Theorie her einfach, jedoch in der Praxis ein sehr komplexes Phänomen. Für Finanzentscheidungen ist es von größter Bedeutung, daß man das Prinzip der Risikoprämie versteht und es anwenden kann. Cornell erläutert das Thema Schritt für Schritt sehr anschaulich und ohne terminologischen Ballast. Zunächst wird die Risikoprämie im Zusammenhang mit der Geschichte des Aktienmarktes betrachtet. Der Haussemarkt der 90er dient dabei als Fallstudie. Cornell zeigt, welche Rückschlüsse man durch die Analyse der Risikoprämie im historischen Verlauf für den Aktienmarkt ziehen kann, z.B. ob Aktienkurse steigen oder fallen oder ob sich der Aktienmarkt verändert. Vorausschauende Schätzungen der Risikoprämie werden anhand verschiedener konkurrierender Modelle analysiert, wobei die Vorzüge der jeweiligen Methode mitbewertet werden. 'Equity Risk Premium' ist das erste Buch, das dieses wichtige Prinzip der Risiko-Nutzen-Analyse erschöpfend behandelt. Es vermittelt einen tiefen Einblick und deckt alle Grundlagen ab, damit Investoren fundierte Finanzentscheidungen treffen können. Ein absolutes Muß für institutionelle Anleger, Geldmanager und Finanzvorstände, die auf eine fundierte Marktanalyse zurückgreifen müssen. (06/99)

Download or read book Handbook of the Equity Risk Premium written by Rajnish Mehra and published by Elsevier. This book was released on 2011-08-11 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by Rajnish Mehra, this volume focuses on the equity risk premium puzzle, a term coined by Mehra and Prescott in 1985 which encompasses a number of empirical regularities in the prices of capital assets that are at odds with the predictions of standard economic theory.

Download or read book New Forecasts of the Equity Premium written by Christopher Polk and published by . This book was released on 2004 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: If investors are myopic mean-variance optimizers, a stock's expected return is linearly related to its beta in the cross section. The slope of the relation is the cross-sectional price of risk, which should equal the expected equity premium. We use this simple observation to forecast the equity-premium time series with the cross-sectional price of risk. We also introduce novel statistical methods for testing stock-return predictability based on endogenous variables whose shocks are potentially correlated with return shocks. Our empirical tests show that the cross-sectional price of risk (1) is strongly correlated with the market's yield measures and (2) predicts equity-premium realizations especially in the first half of our 1927-2002 sample.

Download or read book The Equity Risk Premium A Contextual Literature Review written by Laurence B. Siegel and published by CFA Institute Research Foundation. This book was released on 2017-12-08 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research into the equity risk premium, often considered the most important number in finance, falls into three broad groupings. First, researchers have measured the margin by which equity total returns have exceeded fixed-income or cash returns over long historical periods and have projected this measure of the equity risk premium into the future. Second, the dividend discount model—or a variant of it, such as an earnings discount model—is used to estimate the future return on an equity index, and the fixed-income or cash yield is then subtracted to arrive at an equity risk premium expectation or forecast. Third, academics have used macroeconomic techniques to estimate what premium investors might rationally require for taking the risk of equities. Current thinking emphasizes the second, or dividend discount, approach and projects an equity risk premium centered on 3½% to 4%.

Download or read book The Risk Premium Factor written by Stephen D. Hassett and published by John Wiley & Sons. This book was released on 2011-08-31 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: A radical, definitive explanation of the link between loss aversion theory, the equity risk premium and stock price, and how to profit from it The Risk Premium Factor presents and proves a radical new theory that explains the stock market, offering a quantitative explanation for all the booms, busts, bubbles, and multiple expansions and contractions of the market we have experienced over the past half-century. Written by Stephen D. Hassett, a corporate development executive, author and specialist in value management, mergers and acquisitions, new venture strategy, development, and execution for high technology, SaaS, web, and mobile businesses, the book convincingly demonstrates that the equity risk premium is proportional to long-term Treasury yields, establishing a connection to loss aversion theory. Explains stock prices from 1960 through the present including the 2008/09 "market meltdown" Shows how the S&P 500 has consistently reverted to values predicted by the model Solves the equity premium puzzle by showing that it is consistent with findings on loss aversion Demonstrates that three factors drive valuation and stock price: earnings, long term growth, and interest rates Understanding the stock market is simple. By grasping the simplicity, business leaders, corporate decision makers, private equity, venture capital, professional, and individual investors will fully understand the system under which they operate, and find themselves empowered to make better decisions managing their businesses and investment portfolios.

Download or read book Hybrid Tail Risk and Expected Stock Returns written by Turan G. Bali and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio holdings of individual investors, and investigate its cross-sectional predictive power. Our key innovation is that this covariance is measured across the left tail states of the individual stock return distribution, not across those of the market return as in standard systematic risk measures. We document a positive and significant relation between hybrid tail covariance risk (H-TCR) and expected stock returns, with an annualized premium of 9%, in contrast to the insignificant or negative results for purely stock-specific or systematic tail risk measures.

Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.

Download or read book Equity Risk Premium Predictability from Cross Sectoral Downturns written by José Afonso Faias and published by . This book was released on 2019 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: We illustrate the role of left tail dependence measures, left exceedance correlation (LEC) and left tail mean (LTM), in equity risk premium (ERP) predictability. LEC and LTM measure the average of pairwise left tail dependency among major equity sectors incorporating shocks that are imperceptible at the aggregate level. LEC and LTM, as the variance risk premium (VRP), significantly predict the ERP in- and out-of-sample, which is not the case with the other commonly used predictors. We find predictability is the result of pro-cyclical shocks in a stable business cycle. This paper contributes to the ongoing debate on ERP predictability.

Download or read book Stratified Market Risk An Analysis of Two Markets written by Yao Li and published by . This book was released on 2017 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes a framework that decomposes the market risk into three components: upside, downside, and tail risk. Their risk premiums can be estimated using information from either the index options market or the stock market. The estimated premiums from both markets share two important properties: 1) The tail risk is highly priced; 2) Once the tail risk is excluded, the downside risk is barely priced. We also observe an important difference between the two markets: While the two sides of the market are priced highly asymmetrically in the index options market with all the equity premium attributed to the downside and none to the upside, the upside risk and downside risk both contribute significantly to explaining the cross-section of stock returns. Overall, our findings shed new light on the pricing of systemic risks and provide important evidence for market segmentation.

Download or read book Extracting Tail Risk from High Frequency S P 500 Returns written by Caio Almeida and published by . This book was released on 2020 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes to extract tail risk from a risk-neutral mean-adjusted expected shortfall of high-frequency stock returns. Risk adjustment is based on a nonparametric estimator of the state price density that does not use option prices and relies solely on a stock index returns. This makes the measure methodology applicable to many financial markets with illiquid or nonexistent options. Empirically, the tail risk factor extracted from S &P 500 returns has a 90% correlation with the options-based VIX index and predicts well realized jumps in the stock market index at various frequencies. We document a persistent negative relation between tail risk and one-day ahead returns of several assets classes. Consistent with the crash-insurance property of put options, tail risk predicts positive one-day ahead returns for portfolios long out-of-the-money, short in-the-money put options. An analysis of equity portfolios sorted on exposure to tail risk reveals a premium for bearing such a risk, even after controlling for known and established factors related to cross-sectional variability. This cross-sectional analysis is robust to the inclusion of uncertainty indexes, as well as macroeconomic and volatility measures.

Download or read book Predicting Sign Changes in the Equity Risk Premium Using Commercial Paper Rates written by Joseph P. Kairys and published by London : Research and Publications, Western Business School, University of Western Ontario. This book was released on 1992 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Equity Risk Premium in 2013 written by John R. Graham and published by . This book was released on 2013 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: We analyze the history of the equity risk premium from surveys of U.S. Chief Financial Officers (CFOs) conducted every quarter from June 2000 to December 2012. The risk premium is the expected 10-year S&P 500 return relative to a 10-year U.S. Treasury bond yield. While the risk premium sharply increased during the financial crisis peaking in February 2009, the premium has decreased to a level of 3.83% which is only slightly higher than the long-term average. However, the total market return forecast is at a historical low of 5.46%. The survey also provides measures of cross-sectional disagreement about the risk premium, skewness, and a measure of individual uncertainty. Consistent with the last four quarters of surveys, CFOs see more downside risks than upside risks. In addition, we find that dispersion of beliefs is above the long-term average as well as individual uncertainty. We also present evidence on the determinants of the long-run risk premium. Our analysis suggests the level of the risk premium closely tracks both market volatility (reflected in the VIX index) as well as credit spreads. However, the most recent data show a divergence between VIX and the risk premium.

Download or read book The Equity Risk Premium in 2014 written by John R. Graham and published by . This book was released on 2014 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: We analyze the history of the equity risk premium from surveys of U.S. Chief Financial Officers (CFOs) conducted every quarter from June 2000 to March 2014. The risk premium is the expected 10-year S&P 500 return relative to a 10-year U.S. Treasury bond yield. While the risk premium sharply increased during the financial crisis peaking in February 2009, the premium has decreased to a level of 3.73% which is only slightly higher than the long-term average. However, the total market return forecast is a modest 6.43%. The survey also provides measures of cross-sectional disagreement about the risk premium, skewness, and a measure of individual uncertainty. Consistent with the last four quarters of surveys, CFOs see more downside risks than upside risks. In addition, we find that dispersion of beliefs is above the long-term average as well as individual uncertainty. We also present evidence on the determinants of the long-run risk premium. Our analysis suggests the level of the risk premium closely tracks both market volatility (reflected in the VIX index) as well as credit spreads. However, the most recent data show a divergence between VIX and the risk premium.

Download or read book Forecasting the Equity Risk Premium with Frequency Decomposed Predictors written by Gonçalo Faria and published by . This book was released on 2017 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: We show that the out-of-sample forecast of the equity risk premium can be significantly improved by taking into account the frequency-domain relationship between the equity risk premium and several potential predictors. We consider fifteen predictors from the existing literature, for the out-of-sample forecasting period from January 1990 to December 2014. The best result achieved for individual predictors is a monthly out-of-sample R2 of 2.98% and utility gains of 549 basis points per year for a mean-variance investor. This performance is improved even further when the individual forecasts from the frequency-decomposed predictors are combined. These results are robust for different subsamples, including the Great Moderation period, the Great Financial Crisis period and, more generically, periods of bad, normal and good economic growth. The strong and robust performance of this method comes from its ability to disentangle the information aggregated in the original time series of each variable, which allows to isolate the frequencies of the predictors with the highest predictive power from the noisy parts.